首页> 外文会议>International Astronautical Congress >MAXIMIZING CUBESAT TELEMETRY THROUGHPUT BY ADAPTIVE CHANNEL CODING
【24h】

MAXIMIZING CUBESAT TELEMETRY THROUGHPUT BY ADAPTIVE CHANNEL CODING

机译:通过自适应信道编码最大化CubeSat遥测吞吐量

获取原文

摘要

CubeSat missions operating in LEO can gather large amounts of data, but have only a small time window every day when downlinking this data to a dedicated ground station. This window is usually extended by utilizing passes at lower elevation angles by transmitting at a higher power or reducing data rate and bandwidth to enable communication. This paper proposes an adaptive channel coding method that can be used to vary the telemetry throughput during a CubeSat communication window. This adaptive method instructs the satellite the forward error correction scheme to use for each downlink packet based on real time calculations performed at the ground station. The essence of these calculations involves finding the error pattern in previously received packets - which is readily available at the output of a channel decoder at the ground station - and using the characteristics of the error pattern such as number and spacing between corrupted symbols and length of burst errors to select the appropriate channel coding scheme for the next packet from a predefined set. A predicted link margin and the actual received signal strength at the ground station also influence these calculations. This paper compares the achievable throughput of the adaptive method with the traditional approach based on observed error characteristics and practically verified link budgets. Other constraints that apply to CubeSats, such as transmission power, required on-board computational power and time to run the channel coding algorithms are also compared. This paper seeks to reveal valuable insights in favour of developing a data link layer with an adaptive channel coding method suitable for future CubeSats missions that maximizes the amount of data that can be downlinked and thus the utility of the mission. This proposal is based on the analysis of the error patterns and corrected output from a Reed-Solomon decoder on the received raw data from Swayam, a 1U picosatellite developed by undergraduate st
机译:在Leo中运行的Cubesat任务可以收集大量数据,但每天只有一个小的时间窗口,在将此数据下调到专用地面站时。该窗口通常通过利用较低的高度角度通过以更高的功率或降低数据速率和带宽来扩展来延伸以实现通信。本文提出了一种自适应信道编码方法,可用于在立方体通信窗口期间改变遥测吞吐量。该自适应方法指示卫星基于在地面站执行的实时计算来用于每个下行链路分组的前向纠错方案。这些计算的本质涉及在接地站的信道解码器的输出中易于找到误差模式 - 并且使用诸如数量和损坏符号之间的误差模式的特征和损坏的符号和长度之间的特征突发错误,用于从预定义的集合中为下一个数据包选择适当的通道编码方案。地面站的预测链路余量和实际接收信号强度也影响这些计算。本文基于观察到的误差特征和实际验证的链路预算,比较了具有传统方法的自适应方法可实现的吞吐量。还比较了适用于CubeSats的其他约束,例如传输功率,所需的板载计算功率和运行信道编码算法的时间。本文旨在揭示有助于开发数据链路层的有价值的见解,该数据链路层适用于未来的CubeSats任务,可以最大化可以下行链接的数据量,从而使任务的效用。该提案基于对来自Swayam的接收到的原始数据的误差模式和校正输出的分析,由本科ST开发的1U Picosatellite的REED-Solomon解码器上

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号